机读格式显示(MARC)
- 000 01787nam a2200385 i 4500
- 008 200806r20202019cc a b 001 0 eng d
- 040 __ |a BUA |b eng |c BUA |e rda
- 050 _4 |a QA76.73.P98 |b G78 2019
- 082 04 |a 005.75/65 |2 23
- 099 __ |a CAL 022020182181
- 100 1_ |a Grus, Joel |c (Software engineer), |e author.
- 245 10 |a Data science from scratch = |b 数据科学入门 / |c Joel Grus著.
- 246 34 |a 数据科学入门 : |b 基于Python语言
- 250 __ |a Second edition.
- 264 _1 |a 南京 : |b 东南大学出版社, |c 2020.
- 300 __ |a xvii, 384 pages : |b illustrations ; |c 24 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 505 0_ |a Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.
- 534 __ |p Reprint. Originally published: |c Sebastopol, CA : O'Reilly Media,2019.
- 650 _0 |a Python (Computer program language)
- 650 _0 |a Database management.
- 650 _0 |a Data structures (Computer science)
- 650 _0 |a Data mining |x Mathematics.
- 950 __ |a SCNU |f TP274/G892-2